Applied short-term forecasting for the Slovenian natural gas market

被引:0
|
作者
Potocnik, Primoz [1 ]
Govekar, Edvard [1 ]
机构
[1] Univ Ljubljana, Fac Mech Engn, Ljubljana, Slovenia
来源
2016 13TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM) | 2016年
关键词
Demand forecasting; Natural gas; Stepwise regression; NEURAL-NETWORKS; CONSUMPTION; MODEL; DEMAND; PREDICTION; COMBINATION; TURKEY;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Results of applied short-term forecasting for the Slovenian natural gas market are presented. A case study for one of the major Slovenian natural gas distribution companies is considered, with forecasting results in hourly resolution in the forecasting horizon from 1 to 48 hours. The development of a forecasting strategy is presented, which includes daily data acquisition from various sources, development of customized forecasting models, and deployment of a forecasting solution. The forecasting models are based on stepwise regression method in order to design model structures with reliable and robust operation. Forecasting results of several years of online forecasting operation are presented. Obtained accuracy of forecasting results is considered as very successful and beneficially contributes to the managing policy of the distribution company.
引用
收藏
页数:5
相关论文
共 50 条
  • [41] A Hybrid Short-Term Load Forecasting Approach for Individual Residential Customer
    Lin, Xin
    Zamora, Ramon
    Baguley, Craig A.
    Srivastava, Anurag K.
    IEEE TRANSACTIONS ON POWER DELIVERY, 2023, 38 (01) : 26 - 37
  • [42] Short-Term Load Forecasting for Microgrids Based on Artificial Neural Networks
    Hernandez, Luis
    Baladron, Carlos
    Aguiar, Javier M.
    Carro, Belen
    Sanchez-Esguevillas, Antonio J.
    Lloret, Jaime
    ENERGIES, 2013, 6 (03) : 1385 - 1408
  • [43] Use of Available Daylight to Improve Short-Term Load Forecasting Accuracy
    Lopez, Miguel
    Valero, Sergio
    Sans, Carlos
    Senabre, Carolina
    ENERGIES, 2021, 14 (01)
  • [44] Spatial-temporal learning structure for short-term load forecasting
    Ganjouri, Mahtab
    Moattari, Mazda
    Forouzantabar, Ahmad
    Azadi, Mohammad
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2023, 17 (02) : 427 - 437
  • [45] Market data analysis and short-term price forecasting in the Iran electricity market with pay-as-bid payment mechanism
    Bigdeli, N.
    Afshar, K.
    Amjady, N.
    ELECTRIC POWER SYSTEMS RESEARCH, 2009, 79 (06) : 888 - 898
  • [46] Photovoltaic power forecasting with a long short-term memory autoencoder networks
    Sabri, Mohammed
    El Hassouni, Mohammed
    SOFT COMPUTING, 2023, 27 (15) : 10533 - 10553
  • [47] Artificial neural networks for short-term load forecasting in microgrids environment
    Hernandez, Luis
    Baladron, Carlos
    Aguiar, Javier M.
    Carro, Belen
    Sanchez-Esguevillas, Antonio
    Lloret, Jaime
    ENERGY, 2014, 75 : 252 - 264
  • [48] Natural Gas Short-Term Operation Problem With Dynamics: A Rank Minimization Approach
    Bayani, Reza
    Manshadi, Saeed D.
    IEEE TRANSACTIONS ON SMART GRID, 2022, 13 (04) : 2761 - 2773
  • [49] Forecasting Short-Term Passenger Flow of Subway Stations Based on the Temporal Pattern Attention Mechanism and the Long Short-Term Memory Network
    Wei, Lingxiang
    Guo, Dongjun
    Chen, Zhilong
    Yang, Jincheng
    Feng, Tianliu
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2023, 12 (01)
  • [50] Application of Artificial Neural Networks for Natural Gas Consumption Forecasting
    Anagnostis, Athanasios
    Papageorgiou, Elpiniki
    Bochtis, Dionysis
    SUSTAINABILITY, 2020, 12 (16)